其他联系方式
温荷川，哲学博士，南航人工智能学院上岗副研究员。
博士毕业于澳大利亚昆士兰大学（导师：A/Prof. Rocky Chen），期间于澳大利亚墨尔本大学访问学习（导师：A/Prof. Mingming Gong）。博士期间的研究方向主要是机器学习/因果效应估计，论文发表于 ICML、KDD、WWW、TDKE、ICDM 等国际知名会议与期刊。目前往“大模型 + 因果推断”方向进行拓展来提高大模型的推理能力。
计划于 2027 年招收硕士研究生，有意向的同学可邮件与我联系。目前拥有良好的国内外合作基础，有出国意向的同学欢迎找我闲聊学业规划～
已发表论文：
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin. Enhancing treatment effect estimation via active learning: A counterfactual covering perspective[C]//International Conference on Machine Learning (ICML). PMLR, 2025: 66437-66466. （CCF-A）
Hechuan Wen, Tong Chen, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin. Progressive generalization risk reduction for data-efficient causal effect estimation[C]//Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) V. 1. 2025: 1575-1586. （CCF-A）
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin. Variational counterfactual prediction under runtime domain corruption[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, 36(5): 2271-2284. （CCF-A）
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin. To predict or to reject: Causal effect estimation with uncertainty on networked data[C]//2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023: 1415-1420. （CCF-B）
Tran, Hung Vinh, Tong Chen, Hechuan Wen, Quoc Viet Hung Nguyen, Bin Cui, and Hongzhi Yin. Efficient content-based recommendation model training via noise-aware coreset selection[C]//Proceedings of The ACM Web Conference (WWW). ACM, 2026. （CCF-A）
Zirui Tan, Hechuan Wen, Tong Chen, Shazia Sadiq. Towards cost-effective model update in online feature-incremental learning[C]//International Conference on Web Information Systems Engineering (WISE). Singapore: Springer Nature Singapore, 2025. (CCF-B)
